Gene-Environment Interaction Analysis Incorporating Prior Information

Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.


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install.packages("GEInfo")

1.0 by Xiaoyan Wang, 18 days ago


Browse source code at https://github.com/cran/GEInfo


Authors: Xiaoyan Wang , Hongduo Liu , and Shuangge Ma


Documentation:   PDF Manual  


GPL license


Imports MASS, glmnet, stats, rvest, dplyr, pheatmap, grDevices, graphics


See at CRAN